Sponsors, regulators, and payers are increasingly using patient preference data to support their decisions. Conducting patient preference studies in oncology poses some challenges, such as small target populations or difficult trade-offs between aspects like quality and length of life. Drawing on a systematic literature review, Evidera patient preference staff will summarize current and best practices in conducting patient preference studies in oncology. The evaluation and selection of oncology treatments requires patients and other stakeholders to carefully weigh outcomes such as survival, adverse events, and convenience. The trade-offs that patients and other stakeholders (e.g., physicians, caregivers) are willing to make between such treatment aspects reveal their priorities and insights into their valuation of different treatment options. Preference data that is collected to understand these trade-offs can be used along the lifecycle of a treatment, to inform endpoint selection, refine target treatment profiles, engage decision makers (e.g., regulators, payers), or support post-launch activities (e.g., shaping treatment pathways).

Discussion Points

This webinar will address:

  • The potential applications of preference data in oncology
  • An overview of the current landscape of discrete choice experiments (DCEs) conducted in oncology (including common preference patterns)
    • Indications
    • Considered treatment attributes
    • Emerging preference patterns
  • Best practice and useful tips to help ensure the generation of robust evidence to make a meaningful difference


Webinar attendees will understand:

  1. How preference studies in oncology can support treatments along the development lifecycle
  2. Potential challenges in preference studies in oncology as well as potential solutions
  3. The landscape of current preference evidence, including emerging priorities for risks, overall survival, progression-free survival, and quality of life